scholarly journals A Construction Method of Aggregated Model in the Control Synthesis of Large-Scale Linear System

1980 ◽  
Vol 16 (1) ◽  
pp. 77-83
Author(s):  
Kousuke KUMAMARU ◽  
Hiroyuki OGURA
Keyword(s):  
Linear System ◽  
Large Scale ◽  
Construction Method ◽  
Control Synthesis ◽  
Aggregated Model

scholarly journals An Equivalent Aggregated Model of Large-Scale Flexible Loads for Load Scheduling

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 143431-143444 ◽  
Author(s):  
Jing Tu ◽  
Ming Zhou ◽  
Hantao Cui ◽  
Fangxing Li
Keyword(s):  
Large Scale ◽  
Load Scheduling ◽  
Flexible Loads ◽  
Aggregated Model

CVE-assisted large-scale security bug report dataset construction method

2020 ◽  
Vol 160 ◽  
pp. 110456 ◽  
Author(s):  
Xiaoxue Wu ◽  
Wei Zheng ◽  
Xiang Chen ◽  
Fang Wang ◽  
Dejun Mu
Keyword(s):  
Large Scale ◽  
Construction Method ◽  
Bug Report

Responsible Eigenvalue Approach for Stability Analysis and Control Design of a Single-Delay Large-Scale System With Random Coupling Strengths

2010 ◽  
Author(s):  
Wei Qiao ◽  
Rifat Sipahi
Keyword(s):  
Stability Problem ◽  
Large Scale ◽  
Linear Time ◽  
Mimo System ◽  
Single Agent ◽  
Graph Laplacian ◽  
Control Synthesis ◽  
Coupling Strengths ◽  
And Control ◽  
Delay Margin

A class of linear time-invariant (LTI) consensus system with multiple agents and communication delays among the agents is studied. The delay margin of this MIMO system, that is, the largest amount of the delay that the system can withstand without loosing stability, can be studied by the authors’ Responsible Eigenvalue (RE) concept. RE is able to compress the considered stability problem into the stability problem of a single agent system, from which RE captures the delay margin of the entire MIMO system. RE is used here to design controllers for the MIMO system for the objective of increasing the delay margin. Case studies demonstrate connections between coupling strengths, graph Laplacian, the delay margin of a large-scale consensus system, and control synthesis.

Design Concept of Composite Module for Nuclear Power Plant Construction

2004 ◽  
Author(s):  
Taihei Yotsuya ◽  
Kouichi Murayama ◽  
Jun Miura ◽  
Akira Nakajima ◽  
Junichi Kawahata
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Large Scale ◽  
Construction Method ◽  
Nuclear Plant ◽  
Small Scale ◽  
Modular Construction ◽  
Plant Construction ◽  
Composite Module

A composite module construction method is to be examined reflecting one of the elements of construction rationalization of a future nuclear plant planned by Hitachi. This concept is based on accomplishments and many successes achieved by Hitachi through application of the modular construction method to nuclear power plant construction over 20 years. The feature of the composite module typically includes a planned civil structure, such as a wall, a floor, and a post, representing modular components. In this way, an increased level of rationalization is expected in the conventional large-scale nuclear plants. Furthermore, the concept aiming at the modularization of all the building parts comprising medium- or small-scale reactors is also to be examined. Additional aims include improved reductions in the construction duration and rationalization through use of the composite module. On the other hand, present circumstances in nuclear plant construction are very pressing because of economic pressures. With this in mind, Hitachi is pursuing additional research into the introduction of drastic construction rationalization, such as the composite module. This concept is one of the keys to successful future plant construction, faced with such a severe situation.

Model-based multi-objective optimization of cure process control for a large CFRP panel

2018 ◽  
Vol 35 (2) ◽  
pp. 1085-1097 ◽  
Author(s):  
Sergey Shevtsov ◽  
Igor V. Zhilyaev ◽  
Ilya Tarasov ◽  
Jiing-Kae Wu ◽  
Natalia G. Snezhina
Keyword(s):  
Process Control ◽  
Large Scale ◽  
Complex Shape ◽  
Control Synthesis ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Cure Process ◽  
Composite Part ◽  
Content Type ◽  
Computer Aided

Purpose The purpose of this paper is to develop the multi-objective optimization approach and its numerical implementation to synthesise the model-base control for the part curing at autoclave processing, which supplies the stability and uniformity of the structure and mechanical properties of the material within the cured composite part. Design/methodology/approach The approach includes conversion of the cured part and mold geometry from their computer-aided design (CAD) to computer-aided engineering (CAE) representation, a finite element (FE) formulation of the coupled forward heat transfer/thermal kinetic problem with the parameters of prepreg, which should be determined by the thermal analysis, and, finally, a mapping of the area of 4D design space (thermal control parameters) to 2D objective space, whose coordinates are the maximum deviations of degree of cure and temperature within the cured part calculated at each call of the FE model. Findings The present modeling and optimization approach to the cure process control of the prepreg with thermosetting resin, as well as the means of visualizing optimization results, allow providing insight into complex curing phenomena, estimating the best achievable quality indicators of manufactured composite parts, finding satisfactory parameters of the control law and deciding considering all manufacturing constraints. Research limitations/implications The research can be effectively used to optimize the cure process control for a wide class of polymeric composite parts, even with a complex geometry, but it requires the exact conversion of the geometry of the modeled part from the CAD to CAE environment, which implies the need for excluding all topological imperfections of original CAD model to eliminate the possible formation of void elements and other reasons that do not allow the correct FE meshing. Because thermal, rheological and kinetics parameters, which include the governing equations of cure process, depend on the reinforcing fibers, and especially on the resin properties, the thermal testing for the new modeled prepreg needs to be performed. Practical implications Computer implementation of the proposed approach and numerical method for model-based optimal control synthesis for composite part cure process can be used in aircraft, rotorcraft, ship and automotive technologies at the design of manufacturing process of the large composite parts with complex shape. Social implications This will allow much better quality for large-scale composite parts, excluding very expensive, time-, energy- and material-consuming multiple cure process testing. Originality/value This is first time the problem of optimal control synthesis for curing the large-scale composite parts of complex shape was solved.

scholarly journals Solving Large-Scale TSP Using a Fast Wedging Insertion Partitioning Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zuoyong Xiang ◽  
Zhenyu Chen ◽  
Xingyu Gao ◽  
Xinjun Wang ◽  
Fangchun Di ◽  
...  
Keyword(s):  
Traveling Salesman Problem ◽  
Time Complexity ◽  
Large Scale ◽  
Construction Method ◽  
Traveling Salesman ◽  
Experimental Results ◽  
Insertion Method ◽  
Symmetric Traveling Salesman Problem ◽  
Traditional Construction

A new partitioning method, called Wedging Insertion, is proposed for solving large-scale symmetric Traveling Salesman Problem (TSP). The idea of our proposed algorithm is to cut a TSP tour into four segments by nodes’ coordinate (not by rectangle, such as Strip, FRP, and Karp). Each node is located in one of their segments, which excludes four particular nodes, and each segment does not twist with other segments. After the partitioning process, this algorithm utilizes traditional construction method, that is, the insertion method, for each segment to improve the quality of tour, and then connects the starting node and the ending node of each segment to obtain the complete tour. In order to test the performance of our proposed algorithm, we conduct the experiments on various TSPLIB instances. The experimental results show that our proposed algorithm in this paper is more efficient for solving large-scale TSPs. Specifically, our approach is able to obviously reduce the time complexity for running the algorithm; meanwhile, it will lose only about 10% of the algorithm’s performance.

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